Paper Citation Record · LEDGER

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.27748.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.27748 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:06:51.628147Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy38
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ac9e262-1030-4299-9623-3459469c60dc · outbound

This paper cites Simple linear attention language models balance the recall- throughput tradeoff.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Simple linear attention language models balance the recall- throughput tradeoff

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.862508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78583070-fe6e-4fb4-9cd4-52aeb22a74fe · outbound

This paper cites Adaptive input representations for neural language modeling.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Adaptive input representations for neural language modeling

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.853260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 989560e7-6ee7-4f61-9394-2fecddc23cc3 · outbound

This paper cites Peters, and Arman Cohan.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Peters, and Arman Cohan

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.843985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 285ad435-42c0-4107-a050-4507d03efdd5 · outbound

This paper cites Courier Corporation, 2005.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Courier Corporation, 2005

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.885391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cb0c95cf-932a-4162-bb9b-a34db98c9e38 · outbound

This paper cites an unresolved cited work.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-07-09T15:26:18.876169Z

Source-reported events for the cited work

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Observation 957250ce-f71b-4ec4-a104-6df532f4ef1f · outbound

This paper cites Skyformer: Remodel self-attention with gaussian kernel and nyström method.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Skyformer: Remodel self-attention with gaussian kernel and nyström method

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.118830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3b1c9a11-4a08-4164-a7ed-ef5bcab0f151 · outbound

This paper cites Colwell, and Adrian Weller.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Colwell, and Adrian Weller

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.857100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d977218f-d7f1-4e56-8caa-e6291a47c60d · outbound

This paper cites An exploration of softmax alternatives belonging to the spherical loss family.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel An exploration of softmax alternatives belonging to the spherical loss family

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.855244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7a6e44d5-86f2-4831-b2ca-14bd101ec81d · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.896562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b28ac1b-b29c-4e1f-9509-f8c7da9ba433 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.876488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f3562b4-5559-4191-9557-5e20c74043a4 · outbound

This paper cites Building blocks for a complex-valued transformer architecture.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Building blocks for a complex-valued transformer architecture

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.878306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b82fece8-0c89-41cc-b515-783b5dc3c780 · outbound

This paper cites Parallel and serial grouping of image elements in visual perception.Journal of Experimental Psychology: Human Perception and Performance, 2010.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Parallel and serial grouping of image elements in visual perception.Journal of Experimental Psychology: Human Perception and Performance, 2010

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.874683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56aeab89-6d20-4c55-9d44-37da58605d94 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.145175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f769275-31bf-49a8-ab06-19e786c2b01a · outbound

This paper cites Kingma and Jimmy Ba.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Kingma and Jimmy Ba

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.880023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ada2f3fa-384e-4da6-a87d-1ab9efd367b7 · outbound

This paper cites Reformer: The efficient transformer.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Reformer: The efficient transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.883667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96dc22df-033a-49c0-bc8a-6eb5f208c293 · outbound

This paper cites Learning multiple layers of features from tiny images.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Learning multiple layers of features from tiny images

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.115064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a65fc9f-1e67-412a-a781-75a6d9a51c2f · outbound

This paper cites Figueiras-Vidal.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Figueiras-Vidal

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.112829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b54375a6-ef0e-456b-9eb7-ad0656f42314 · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach.arXiv, 2019.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Roberta: A robustly optimized bert pretraining approach.arXiv, 2019

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.141136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f844982d-21aa-4ad9-8b20-d59e100f8f4d · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel itransformer: Inverted transformers are effective for time series forecasting

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.887171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5f6851c-92df-440b-9f9a-70e17f7c8d1d · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Swin transformer: Hierarchical vision transformer using shifted windows

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.898258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3752728-1c40-429b-ba3f-a9faa7f6ad97 · outbound

This paper cites Maas, Raymond E.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Maas, Raymond E

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.872787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6bacb3c7-83b2-462c-a3c6-902b94d82d09 · outbound

This paper cites Polaformer: Polarity- aware linear attention for vision transformers.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Polaformer: Polarity- aware linear attention for vision transformers

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.894459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c94f2af3-5aa2-4cc7-99c6-0db6cd123f97 · outbound

This paper cites Pointer sentinel mixture models.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Pointer sentinel mixture models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.143183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b3e47719-c030-4462-a43c-22e4f85ca298 · outbound

This paper cites an unresolved cited work.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-07-09T15:26:18.853552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c19b8e7-038b-4e24-bc25-2a8e734040a7 · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.884133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e83538d-38cb-4d75-875e-1571f4e2cedf · outbound

This paper cites fairseq: A Fast, Extensible Toolkit for Sequence Modeling.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:54:40.216369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ce7a51b7-4df9-47f5-97a3-ce6deb4e1dcb · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Pytorch: An imperative style, high-performance deep learning library

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.889076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f0edf8da-8323-4773-ab52-453d47b0b06f · outbound

This paper cites Random feature attention.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Random feature attention

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.890747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e76a1bc-4e38-4c18-bff8-8d4431f4fc33 · outbound

This paper cites cosformer: Rethinking softmax in attention.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel cosformer: Rethinking softmax in attention

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.147021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6587053-a665-4270-a64b-1f707dcabc63 · outbound

This paper cites Radev, Pradeep Muthukrishnan, and Vahed Qazvinian.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Radev, Pradeep Muthukrishnan, and Vahed Qazvinian

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.901541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 907892fb-0d91-4fb7-be2d-714c21007503 · outbound

This paper cites Random features for large-scale kernel machines.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Random features for large-scale kernel machines

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:16:19.117067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1c15487-4fa1-4194-bf92-18bb40091f6d · outbound

This paper cites Efficient content- based sparse attention with routing transformers.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Efficient content- based sparse attention with routing transformers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.848074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93435d25-db93-479d-8e4f-1ab7fdc1df1a · outbound

This paper cites wav2vec: Unsupervised Pre-training for Speech Recognition.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel wav2vec: Unsupervised Pre-training for Speech Recognition

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:54:40.213982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e3be53c-06e4-410a-9080-e2415116c509 · outbound

This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network.Physica D: Nonlinear Phenomena, 2020.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network.Physica D: Nonlinear Phenomena, 2020

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.881786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0120c4fd-bc84-4f5b-a3b3-db5799952836 · outbound

This paper cites Understanding the differences in foundation models: Attention, state space models, and recurrent neural networks.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Understanding the differences in foundation models: Attention, state space models, and recurrent neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.892779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba51912e-fe65-4c6e-a19a-0ae50b72e66d · outbound

This paper cites Nonstationary sparse spectral permanental process.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Nonstationary sparse spectral permanental process

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.899951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c49e48d5-1eec-43e3-b58a-991e9ffebd4d · outbound

This paper cites Long range arena: A benchmark for efficient transformers.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Long range arena: A benchmark for efficient transformers

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.868971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d0acc53-c805-4628-8c66-7ae47be3b79c · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.865389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95155659-de7f-4f1a-8b11-e6eb95efe953 · outbound

This paper cites an unresolved cited work.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-07-09T15:26:18.867067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34556e74-f894-4920-8ea7-3d9675d8e042 · outbound

This paper cites Yaglom.Correlation Theory of Stationary and Related Random Functions, Volume I: Basic Results.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Yaglom.Correlation Theory of Stationary and Related Random Functions, Volume I: Basic Results

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.862926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ddd0457-c472-4c89-b898-832cc173be0c · outbound

This paper cites Big bird: Transformers for longer sequences.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Big bird: Transformers for longer sequences

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.856915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8221a407-aa3a-46d0-96e9-18225de193fd · outbound

This paper cites The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.870897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c879bd4f-35b6-428a-a266-aa54cb44ef3b · outbound

This paper cites Good" and 4,790.

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel Good" and 4,790

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T15:26:18.864269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.